Comparative Analysis of Intelligence Strategies for UAV-Assisted Device Communication

In the rapidly evolving landscape of next-generation communication networks, such as 6G, addressing challenges related to on-demand connectivity in emergency scenarios has become a paramount concern. This study explores the domain of device communication within Unmanned Aerial Vehicle (UAV) networks, aiming to harness the potential of swarm intelligence techniques to improve the communication efficiency. This research centres on a comparative exploration of several well-established swarm intelligence approaches, including Particle Swarm Optimization (PSO), Cuckoo Search Optimization (CSO), and Grey Wolf Optimization (GWO). The primary objective is to assess the effectiveness and efficiency of these strategies in tackling the intricate challenges posed by on-demand connectivity in emergency situations within the UAV-assisted device communication network. The research aims to provide a deeper understanding of the comparative performance of the different approaches, guiding future decision-making processes.